Applications are invited for 3 Research Associates in Machine Learning for Health, Network Science, Knowledge Representation and AI to work within the Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC) programme in the School of Informatics and Usher Institute, University of Edinburgh.
Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC) is a 3 year, £3.9 million research programme funded by the National Institute for Health Research (NIHR) Artificial Intelligence for Multiple Long-Term Conditions Programme. AIM-CISC is led by a multidisciplinary team from The University of Edinburgh, University College London and NHS Lothian. This includes clinical and genetic researchers studying complex multimorbidity, public partners, social scientists researching wider social and spatial determinants of health and care, and informatics and data science academics with AI expertise across multiple domains including natural language processing, machine-learning including multilayer network analysis, and applied AI. The research areas are broadly as follows:
1.Network Science for the analysis and prediction of multimorbidity.
- More information at: https://edin.ac/3CHANSy
- Informal enquiries can sent to Valerio Restocchi (firstname.lastname@example.org) and Jacques Fleuriot (email@example.com).
2. Machine Learning for clustering of complex multimorbidity.
- More information at: https://edin.ac/3CKMact
- Informal inquiries can be sent to Sohan Seth (Sohan.Seth@ed.ac.uk).
3. Knowledge Representation for Medical Artificial Intelligence
- More information at: https://edin.ac/3gKZ1C6
- Informal inquiries can be sent to Bruce Guthrie (Bruce.Guthrie@ed.ac.uk) and Jacques Fleuriot (firstname.lastname@example.org).